TY - GEN
T1 - Textile-Based Soft Wearable Robots to Improve Quality of Life Across Wide Spectrum of Applications
AU - Nassour, John
AU - Tacca, Nicholas
AU - Cheng, Gordon
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Wearable robots typically signify a specific solution for a specific problem or task rather than a generalized solution adaptable to different purposes, such as preventive care, health monitoring, assisting, and augmentation. We have been developing a new concept of wearable robots to assist humans in a spectrum of applications varying from highly constrained medical setups to home use. We used textile materials to build the exoskeletons, which makes them more suitable for long-wearing duration, lightweight, and cost-effective. Different control strategies were deployed to measure the wearer's in-Tention and operate the exoskeleton accordingly. Furthermore, our neuro-cognitive user study shows that the exoskeleton aligns with human expectations as a sign of embodiment, Elec-troencephalography data shows that an error-related potential appears after unexpected actions of the exoskeleton; these were decodable with an average accuracy of 76.63 ± 1.73%.
AB - Wearable robots typically signify a specific solution for a specific problem or task rather than a generalized solution adaptable to different purposes, such as preventive care, health monitoring, assisting, and augmentation. We have been developing a new concept of wearable robots to assist humans in a spectrum of applications varying from highly constrained medical setups to home use. We used textile materials to build the exoskeletons, which makes them more suitable for long-wearing duration, lightweight, and cost-effective. Different control strategies were deployed to measure the wearer's in-Tention and operate the exoskeleton accordingly. Furthermore, our neuro-cognitive user study shows that the exoskeleton aligns with human expectations as a sign of embodiment, Elec-troencephalography data shows that an error-related potential appears after unexpected actions of the exoskeleton; these were decodable with an average accuracy of 76.63 ± 1.73%.
UR - https://www.scopus.com/pages/publications/85217386979
U2 - 10.1109/HONET63146.2024.10822887
DO - 10.1109/HONET63146.2024.10822887
M3 - Conference contribution
AN - SCOPUS:85217386979
T3 - 2024 IEEE 21st International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2024
SP - 118
EP - 123
BT - 2024 IEEE 21st International Conference on Smart Communities
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2024
Y2 - 3 December 2024 through 5 December 2024
ER -